Journal article
Thermomechanical processing for recovery of desired < 001 > fiber texture in electric motor steels
Metallurgical and materials transactions. A, Physical metallurgy and materials science, v 39A(7), pp 1738-1746
01 Jul 2008
Abstract
A processing route has been developed for recovering the desired lambda fiber in iron-silicon electrical steel needed for superior magnetic properties in electric motor application. The lambda fiber texture is available in directionally solidified iron-silicon steel with the < 001 > columnar grains but was lost after heavy rolling and recrystallization required for motor laminations. Two steps of light rolling each followed by recrystallization were found to largely restore the desired fiber texture. This strengthening of the < 001 > fiber texture had been predicted on the basis of the strain-induced boundary migration (SIBM) mechanism during recrystallization of lightly rolled steel from existing grains of near the ideal orientation, due to postulated low stored energies. Taylor and finite element models supported the idea of the low stored energy of the lambda fiber grains. The models also showed that the lambda fiber grains, though unstable during rolling, only rotated away from their initial orientations quite slowly.
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Details
- Title
- Thermomechanical processing for recovery of desired < 001 > fiber texture in electric motor steels
- Creators
- Dejan Stojakovic - Drexel UniversityRoger D. Doherty - Drexel UniversitySurya R. Kalidindi - Drexel UniversityFernando J. G. Landgraf - Universidade de São Paulo
- Publication Details
- Metallurgical and materials transactions. A, Physical metallurgy and materials science, v 39A(7), pp 1738-1746
- Publisher
- Springer Nature
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000256081500031
- Scopus ID
- 2-s2.0-44449156214
- Other Identifier
- 991019167964204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary
- Metallurgy & Metallurgical Engineering